Identifying Themes and Patterns on Management of Horticultural Innovations with an Automated Text Analysis

Identifying Themes and Patterns on Management of Horticultural Innovations with an Automated Text Analysis

This research provides an overview on horticulture innovations in the last decade through a literature review and the use of a computer qualitative data analysis. We used Leximancer text mining software to identify concepts, themes and pathways linked with horticulture innovations. The software tool...

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Bibliographic Details
Main Authors: Daniela Spina, Gabriella Vindigni, Biagio Pecorino, Gioacchino Pappalardo, Mario D’Amico, Gaetano Chinnici
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Agronomy
Subjects:
innovations
management
horticulture
content analysis
data mining
Online Access:https://www.mdpi.com/2073-4395/11/6/1103

Internet

https://www.mdpi.com/2073-4395/11/6/1103

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